Senior Software Engineer — C++ · Python · JavaScript · AI · Browser Extensions
Senior Software Engineer and Architect with deep expertise in secure, high-performance measurement platforms and cross-browser extensions. Proven track record modernizing legacy systems and driving product evolution at Comscore and TCS (Nielsen), backed by equity trading systems at Morgan Stanley and award-winning TTS technology.
With over 20 years in software engineering, I specialise in building secure, high-performance platforms where reliability and privacy are non-negotiable. My core work has been in audience measurement — developing browser extensions and Windows applications used by millions of panellists across Chrome, Edge, and ChromeOS at Comscore and Nielsen.
Earlier in my career I co-developed Vaachak, a Hindi and English TTS engine that earned India's National Award for Empowerment of Persons with Disabilities — later acquired by Nuance/Microsoft. I also built high-frequency equity trading infrastructure at Morgan Stanley. Most recently I designed SecureView, an AI-powered Chrome extension that categorises browsing behaviour using Amazon Bedrock via a serverless AWS pipeline.
Languages
Platforms
AI / Speech
CERTIFIED 2026
RMIT · 2025
Comscore, Inc.
Tata Consultancy Services · Australia & New Zealand
Tata Consultancy Services · India
A Chrome Extension (Manifest V3) that tracks active browsing time per site, automatically categorises every domain into one of 11 categories (Technology, Entertainment, Productivity, and more), and surfaces the data through a clean popup with daily history and search. For sites that cannot be classified by rule, it falls back to Amazon Bedrock via a serverless AWS pipeline — keeping the API key entirely server-side. Built with pure vanilla JavaScript; no build step, no dependencies.
Tech Stack
Audience measurement client for Windows — built multiple modules and browser extensions from the ground up, with a focus on data privacy and scalability.
Audience measurement client for ChromeOS, designed and built end-to-end. Recognised with the TCS Innovation Pride Award (2020).
Audience measurement client for Windows — contributed multiple modules and extended cross-platform coverage.
Harmonic-Plus-Noise-Model based Hindi & English Text-to-Speech engine. Took the system from MATLAB research to C++ production; received India's National Award and the Manthan Award.
Saving of computational time and rejection of non-vocabulary word in DTW and LPC based spoken word recognizer
Journal of Acoustical Society of India · Vol. 37 No. 1, pp. 105–111
View PDF →Spoken word recognition of German digits uttered by native and non-native speakers
International Conference on Information Technology · Al-Zaytoonah University, Jordan
Effect of Regional Variants on Isolated Word Recognition in India
RAFIT'05 · pp. 55–57, Patiala, India
View PDF →Optimization of input parameters for estimation of LP coefficients for isolated word recognition
ICSCI-2005 · pp. 390–393, Hyderabad, India
View PDF →Challenges in Automatic Speech Recognition
Developer IQ · Vol. 4, No. 12, pp. 57–62
View PDF →AI Programming with Python
RMIT Online · Australia
Master of Computer Application
Dr. A.P.J. Abdul Kalam Technical University · India
Innovation Pride Award
View →Individual Innovation Award for the innovative architecture of the Chromebook Meter, enabling critical audience measurement on ChromeOS.
Presented by Tata Consultancy Services